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| Meta Title | IJACSA | Computer Science Journals | Scopus Indexed Journals |
| Meta Description | Computer Science Journals - IJACSA is a scholarly computer science journal representing the best in computer science. It is an Open Access Journal indexed in Scopus and Web of Science |
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| Boilerpipe Text | International Journal of Advanced Computer Science and Applications (IJACSA)
International Journal of Advanced Computer Science and Applications (IJACSA) is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability.
IJACSA publishes research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications.
In sync with the Journal's vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent.
Open Access Statement: This is an open access scopus indexed journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. All past issues are available in the
Archives
.
Indexing
The papers of this computer science journal are submitted to
Web of Science
,
Scopus
, Inspec, Ei Compendex, Semantic Scholar, EBSCOhost, Microsoft Academic Search and Index Copernicus. The web of science journal is Scientific level 1 in the Norwegian Register and included in the Federation of Finnish Learned Societies/Publication Forum. **
Call for Papers
Submit your Paper
Current Issue
Bibliographic Information
ISSN : 2156-5570 (Online)
ISSN : 2158-107X (Print)
DOI :
10.14569/issn.2156-5570
Publication Frequency : Monthly
Acceptance Rate in 2024
15%
Downloads (2025)
343,113
Impact Factor
0.9 (Q3)
CiteScore
2.7 (2024 Q3)
Dr Kohei Arai
Editor-in-Chief
Affiliation : Saga University, Japan.
Domains of Research : Computer Science, Human-Computer Interaction, Networking, Information Retrievals, Optimization Theory, Modeling and Simulation, Satellite Remote Sensing, Computer Vision, Decision Making Methodology
editorijacsa@thesai.org |
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# International Journal of Advanced Computer Science and Applications (IJACSA)
## Computer Science Journal - Open Access - Scopus Indexed Journals - Web of Science Journal
International Journal of Advanced Computer Science and Applications (IJACSA) is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability.
IJACSA publishes research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications.
In sync with the Journal's vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent.
Open Access Statement: This is an open access scopus indexed journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. All past issues are available in the [Archives](https://thesai.org/Publications/Archives?code=IJACSA).
### Indexing
**The papers of this computer science journal are submitted to [Web of Science](https://mjl.clarivate.com//search-results?issn=2158-107X), [Scopus](https://www.scopus.com/sourceid/21100867241), Inspec, Ei Compendex, Semantic Scholar, EBSCOhost, Microsoft Academic Search and Index Copernicus. The web of science journal is Scientific level 1 in the Norwegian Register and included in the Federation of Finnish Learned Societies/Publication Forum. \*\***
[Call for Papers](https://thesai.org/Publications/CallForPaper?code=IJACSA "Call for Papers") [Submit your Paper](https://thesai.org/Publications/Submit?code=IJACSA "Submit your Paper") [Current Issue](https://thesai.org/Publications/CurrentIssue?code=IJACSA "Current Issue")
### Bibliographic Information
- ISSN : 2156-5570 (Online)
- ISSN : 2158-107X (Print)
- DOI : [10\.14569/issn.2156-5570](https://dx.doi.org/10.14569/issn.2156-5570)
- Publication Frequency : Monthly
##### Acceptance Rate in 2024
- 15%
##### Downloads (2025)
- 343,113
##### Impact Factor
- 0\.9 (Q3)
##### CiteScore
- 2\.7 (2024 Q3)
### Dr Kohei Arai
Editor-in-Chief
[](https://thesai.org/Reviewers/Details/63c753d9-2595-4276-8cd2-ede0363eb91e)
Affiliation : Saga University, Japan.
Domains of Research : Computer Science, Human-Computer Interaction, Networking, Information Retrievals, Optimization Theory, Modeling and Simulation, Satellite Remote Sensing, Computer Vision, Decision Making Methodology
[editorijacsa@thesai.org](mailto:editorijacsa@thesai.org)
[](https://thesai.org/Publications/IJACSA)
### Upcoming Conferences
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[Computer Vision Conference (CVC) 2026](http://saiconference.com/CVC)
21-22 May 2026
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[](http://saiconference.com/Computing)
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9-10 July 2026
- [London, United Kingdom]()
[](http://saiconference.com/IntelliSys)
[Artificial Intelligence Conference 2026](http://saiconference.com/IntelliSys)
3-4 September 2026
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[](http://saiconference.com/FTC)
Future Technologies Conference (FTC) 2026
15-16 October 2026
- [Berlin, Germany]()
[](https://thesai.org/)
[BACK TO TOP](https://thesai.org/Publications/IJACSA)
### Computer Science Journal
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- [Indexing](https://thesai.org/Publications/Citations?code=IJACSA)
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The Science and Information (SAI) Organization Limited is a company registered in England and Wales under Company Number 8933205.
 |
| Readable Markdown | ## International Journal of Advanced Computer Science and Applications (IJACSA)
International Journal of Advanced Computer Science and Applications (IJACSA) is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability.
IJACSA publishes research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications.
In sync with the Journal's vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent.
Open Access Statement: This is an open access scopus indexed journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. All past issues are available in the [Archives](https://thesai.org/Publications/Archives?code=IJACSA).
### Indexing
**The papers of this computer science journal are submitted to [Web of Science](https://mjl.clarivate.com//search-results?issn=2158-107X), [Scopus](https://www.scopus.com/sourceid/21100867241), Inspec, Ei Compendex, Semantic Scholar, EBSCOhost, Microsoft Academic Search and Index Copernicus. The web of science journal is Scientific level 1 in the Norwegian Register and included in the Federation of Finnish Learned Societies/Publication Forum. \*\***
[Call for Papers](https://thesai.org/Publications/CallForPaper?code=IJACSA "Call for Papers") [Submit your Paper](https://thesai.org/Publications/Submit?code=IJACSA "Submit your Paper") [Current Issue](https://thesai.org/Publications/CurrentIssue?code=IJACSA "Current Issue")
### Bibliographic Information
- ISSN : 2156-5570 (Online)
- ISSN : 2158-107X (Print)
- DOI : [10\.14569/issn.2156-5570](https://dx.doi.org/10.14569/issn.2156-5570)
- Publication Frequency : Monthly
##### Acceptance Rate in 2024
- 15%
##### Downloads (2025)
- 343,113
##### Impact Factor
- 0\.9 (Q3)
##### CiteScore
- 2\.7 (2024 Q3)
### Dr Kohei Arai
Editor-in-Chief
[](https://thesai.org/Reviewers/Details/63c753d9-2595-4276-8cd2-ede0363eb91e)
Affiliation : Saga University, Japan.
Domains of Research : Computer Science, Human-Computer Interaction, Networking, Information Retrievals, Optimization Theory, Modeling and Simulation, Satellite Remote Sensing, Computer Vision, Decision Making Methodology
[editorijacsa@thesai.org](mailto:editorijacsa@thesai.org) |
| Shard | 47 (laksa) |
| Root Hash | 3218267280394620047 |
| Unparsed URL | org,thesai!/Publications/IJACSA s443 |